Syed Mohsin Bukhari Email & Phone Number

Berlin, DE

Berlin, Berlin, Germany

• Bring our ML solutions to production faster (in minutes rather than weeks).
• Infrastructure as Code: Setup reusable Terraform modules and migrated manually created cloud infrastructure to Terraform code, improving consistency and scalability.
• VertexAI Pipeline Optimization: Helped streamline the workflow for creating VertexAI pipelines by developing various templates covering common use cases for our team.
• Technical Liaison: Mediated with consumer teams to establish technical contracts for product usage, ensuring smooth integration and clear communication.
• Kubernetes Cluster Management: Set up and maintained a GKE cluster to deploy our ML solutions for internal usage and audit purposes.
• One-Click ML Deployment System: Designed, developed, and maintained an internal system allowing ML engineers to deploy solutions to the cloud with a single click. This challenging project involved:---- Building a.

Berlin, Germany

• Increasing adaption rate of ML tooling organisation wide.
• Infrastructure as code for ML services used in experiment tracking.
• Infrastructure as code for ML services used in model monitoring.
• Design and Develop Machine Learning Infrastructure for Data Science experiments.---- Design and Develop ML Monitoring and Observability Platform.---- Design and Develop Artefact Management System.---- Design and.
• Setup Sagemaker Studio for Data Science experiments.
• Setup VertexAI for Data Science experiments.

Lahore, Punjab, Pakistan

• Improved deployment rate of ML systems on edge devices from 1 per week to 10 per week.
• Enable junior team members to use a variety of technology stacks ranging from ML to DevOps.
• Implement Agile methodologies in research environment.
• Encourage good coding practices across teams.
• Design CI/CD of Machine Learning pipelines.
• Design and develop Deep Learning training pipeline for automated training.

Lahore, Pakistan

• Time-series forecast using auto-regression, SARIMA and recurrent neural networks. Successfully improved the existing system to meet clients demand of accuracy.
• Customer churn prediction as classification problem.
• Design and development of machine learning and data preparation pipelines in Microsoft Azure Machine Learning Studio.

Islamabad, Pakistan

• Leading design and development of Computer Vision and Machine Learning systems.
• Designing software architecture for deployment on production servers; sometimes using Docker images.
• Communicating with clients to determine their expectations from our products and services.
• Deploy systems that use various machine learning models on AWS and mobile embedded systems (like NVIDIA® Jetson AGX Xavier™ and NVIDIA® Jetson™ TX2).
• DevOps for Computer Vision systems.
• Designing APIs for communication of services using REST and gRPC.

Lahore, Pakistan

• Lead a team of 3 developers and 1 artist to develop an Android game in Unity using C#.
• Design and implement AI of enemy characters.
• 2D animation of characters in Unity.
• 3D modelling and animation of characters in Blender.
• Single-handed development of 3D PC RPG demos for Oculus Rift in Unity.
• Design game levels.

Lahore, Pakistan

• Improving language translation accuracy using statistical machine translation so that clients could make decisions based on customer feedback. Accuracy was improved by more than 10%.
• Setting up a Machine Learning API for text classification and sentiment analysis to provide clients with actionable insights regarding their products and services. By the end of the project, the company had an in-house.

• Responsible for design and simulation of Wireless Sensor Network (WSN) protocols in Network Simulator 3. Development of a protocol customized for a WSN which acquired weather data and water level of canal from sensors.
• Leading a team of 18 TAs for a class with roster size of around 200 students. Responsibilities included but were not limited ensuring timely grading of assignments and projects along with organizing lab sessions and.

Kaiserslautern, Germany

Localization of mobile platforms by fusing data from multiple sensors. Developing a modular implementation of Kalman Filter and Extended Kalman Filter in Robot Operating System (ROS) using C++.

Master Of Science (Ms), Computer Science

Focused on overcoming deficiencies of generative models using neural networks and deep learning in the context of image data for.

Bachelor Of Science (Bs), Electrical Engineering

Focused on AI for Robotics. Final Project focused on localization of mobile platforms by fusing data from multiple sensors using in-house.

High School (A' Levels), Mathematics, Further Mathematics, Physics, Chemistry

studied science